TitlePredicting the Risk for Recurrent Heart Attack(s)
OwnerUniversity of Rochester

A novel method for identifying patients at increased risk for a second (or subsequent) heart attack.


Problem Solved by this Technology

Myocardial infarction (MI), commonly known as a “heart attack,” occurs when blood flow stops to part of the heart, causing damage to the heart muscle. In the developed world, the risk of death is ~10%. Recurrent MI is common after an initial MI, and is associated with increased morbidity and mortality. Traditional methods employed to predict a recurrent MI rely on an analysis of a single risk factor.



Researchers at the University of Rochester have developed a novel multiple risk factor computational algorithm-based method for identifying post-MI individuals that are at a higher risk of a repeat MI. The risk factors comprise levels of certain proteins and other molecules and certain polymorphism in specific genes sequences. This approach presents a more accurate risk calculation that will aid physicians in making better clinical treatment and follow-up decisions.


Intellectual Property Status

U.S. patent no. 8,979,753, “Identifying Risk of a Medical Event,” issued 17 March 2015.


Technology Status

 UR Ventures is seeking an industrial partner to develop this diagnostic assay into a commercially available product.


URV Reference Number: 6-1503

Applicants:University of Rochester
Access to additional documentation:Please inquire
IPC classifications:
Case Ref:2124
Application number:US8979753
Inventors:James Corsetti, Charles Sparks, Daniel Ryan, Arthur Moss
Support from inventors:Please inquire
CPC classifications:
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